Job description
About RethinkFirst
RethinkFirst is a leading behavioral health technology company working to make mental wellness, education, and support accessible and scalable. Through our suite of cloud-based platforms—including RethinkEd, RethinkCare, and RethinkBH—we serve educators, employers, and providers with tools that deliver measurable, inclusive outcomes.
We're on a mission to make behavioral health more effective, equitable, and human.
About the Role
We're seeking a highly skilled and motivated hands-on Data Engineer to design, build, and maintain our Microsoft Fabric Lakehouse as we migrate our Azure-Synapse enterprise data warehouse and analytics platform. You'll own the full lifecycle — from designing scalable pipelines and dimensional models to delivering reliable, secure data across the organization and supporting it in production.
You'll thrive here if you're fluent across Microsoft Fabric, Azure Synapse, and Databricks, comfortable using C# for API integrations, communicate clearly with both technical and business partners, and take genuine ownership of outcomes from design through production support.
What You'll Do
Data Modeling & Lakehouse / Warehouse Development
Design, build, and maintain scalable Lakehouse and data warehouse solutions on Microsoft Fabric and Azure Synapse
Develop, optimize, and deploy ETL/ELT pipelines and reusable framework for seamless data integration from multiple diverse sources
Implement data quality, validation, and transformation logic across pipelines, ensuring accuracy and consistency
Establish best practices for data engineering, including coding standards, governance, performance, and automation
Document models, pipelines, and operational runbooks so others can support and extend the platform
Develop and optimize dimensional/Semantic models for advanced BI and analytics
Data Integration & Operations
Integrate diverse source systems into the enterprise data warehouse
Ensure pipelines and Lakehouse/warehouse workloads are scalable, reliable, performant, and secure
Tune SQL, Spark jobs, and pipeline performance for cost and reliability
Implement monitoring, alerting, and operational practices for data workflows
Respond to production incidents, trouble-shoot root-causes, and implement effective solutions
Proactively identify gaps, propose improvements, and drive work to completion with minimal oversight
Implement API integrations and services where the platform requires it
Collaboration & Delivery
Partner with architects, analysts, product, and business stakeholders to translate requirements into Lakehouse/warehouse solutions
Communicate progress, risks, and tradeoffs clearly to both technical and non-technical audiences
Work within Agile/Scrum practices — planning, estimation, and demos
Collaborate effectively across onshore and offshore teams
Conduct and participate in Code Reviews to ensure code quality and maintainability
What You Bring
Required Qualifications
2-5 years of hands-on experience in data warehouse / data engineering roles
Practical, production experience across Azure Synapse, Microsoft Fabric, and Azure Databricks
Strong SQL plus Python and/or scripting for transformation, automation, and tooling
Proven experience building and optimizing ETL/ELT pipelines and data models
Experience delivering within Agile/Scrum teams
Strong written and verbal communication skills
Demonstrated initiative, ownership, and reliability in delivering production data solutions
Preferred Qualifications
Experience with healthcare data systems
Familiarity with the ABA (Applied Behavior Analysis) domain
Experience with C# for API integrations and services
Exposure to AI (Azure OpenAI, Claude, Cursor)
Experience collaborating with distributed or offshore teams
Who You Are
You take initiative — you spot issues and opportunities, then drive solutions forward
You're accountable — you own quality, reliability, and follow-through
You communicate clearly — you can explain technical work to any audience
Benefits:
Generous health, dental, & vision benefits package
Flexible paid time off
11 paid company holidays
401k + matching
Parental leave
Access to our award-winning RethinkCare platform supporting neurodiversity in the workplace through parental success, professional resilience, and personal wellbeing.
Location: Remote opportunities are available to candidates who reside in the following states: AL, AZ, CT, FL, GA, HI, IA, IL, IN, KY, LA, MD, MA, MI, MN, MO, MT, NC, NE, NH, NJ, NV, OH, OR, PA, RI, TN, TX, VA, WA, WI, WY
Recruiting Fraud Alert: Job applicants should be aware that there are external parties posing as RethinkFirst recruiters. These scams may include fraudulent communications via social media platforms (such as LinkedIn), email, or requests to schedule interviews. Note that any recruiting related communication you receive from RethinkFirst would come from an @rethinkfirst.com e-mail address, @applytojob.com email address (via our talent acquisition system), ‘’ email address, and/or be found on the Rethinkfirst.com website. Please also note that at no point during our recruitment process will we request any form of monetary payment. If you believe that you have been a victim of job recruiting fraud, you should file a report with your local law enforcement.
Our commitment to an inclusive workplace
RethinkFirst is an equal opportunity employer and is committed to providing a workplace free from harassment and discrimination. We celebrate the unique differences of our employees because that is what drives curiosity, innovation, and the success of our business. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws. Accommodations are available for applicants with disabilities.
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Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.